At a Glance
- Tasks: Develop and evaluate AI prototypes using cutting-edge tools and technologies.
- Company: Join a leading tech firm in London with a focus on innovation.
- Benefits: Competitive pay, health perks, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Make a real impact in AI while working with the latest technologies.
- Qualifications: 8-12 years in data science/AI with strong programming skills.
The predicted salary is between 80000 - 100000 £ per year.
- London, United Kingdom | Posted on 30/07/2026
- Contract role: Principal AI Data Engineer
- Contract Location: London, 5 days onsite weekly
- Develop and evaluate AI/Gen AI/Agentic AI prototypesusing tools like Copilot Studio, AI Foundry and Copilot Analyst Agent, Mosiac AI, Genie, Agent Bricks, MLflow with a focus on quick wins and enterpriseintegration.
- Build and tune Retrieval-Augmented Generation (RAG)systems, including embedding model selection, prompt engineering, and traceableevaluation.
- Design and deploy basic AI agents using frameworkssuch as Lang Chain, Auto Gen, and smolagents
- Communicate complex AI concepts clearly to businessstakeholders and cross-functional teams.
- Collaborate on E platform enhancements and work withinits current limitations.
- Deploy models and applications using Azure Open AI, Azure AI Foundry, Databricks Mosaic Gateway, and Docker.
- Follow Dev Ops best practices including CI/CDpipelines, testing, linting, and Git Hub workflows.
- Operate in agile teams and contribute to sprintplanning, reviews, and retrospectives.
- Deliver hands on Gen AI/Agentic AI systems used directlyby commercial teams within Trading & Supply, taking solutions fromprototype to production
- Apply engineering skills (emphasis on Databricks) andresearch skills across experimentation, rapid prototyping, and iterativedelivery.
Someone who puts emphasis on reproducibility and open source, manageslarge-scale text and structured datasets on Databricks.
- Build AI capability, manage stakeholders andcommunicate effectively to ensure alignment between business needs and AIsolutions, and a quick understanding of commercial operations that happen in T&S
- Design and run evaluation and testing frameworks for Gen AI systems, including benchmarking, reproducibility checks, and structuredmodel assessments
- Build solutions using Databricks infrastructure, Genie, MLflow (deployment and tracing and evaluations), Lang Chain, and Lang Graph, and integrate them into scalable AI workflows and architectures
- Contribute to system planning, architectural design, and structured testing to ensure long term reliability, performance, andmaintainability
- Preferably also someone who can set the buildingblocks and lead building out the backlog
- Required Skills
- Bachelor or Master or equivalent in Statistics, Mathematics, Econometrics or similar discipline with at least 8-12 years’experience on data science/AI projects.
- Deep understanding of LLM families (GPT, Llama, Claude, Mistral) and their reasoning capabilities.
- S trong experience with Databricks- DLT, Delta Lake concepts, UC governance.
- Solid understanding of streamingtechnologies (e. g., Spark Structured Streaming, Autoloader)
- Programming skills in Python, SQL, or Scala.
- Proficiency in data modelling, ETL/ELT processes, and data architecture.
- Strong analytical background with problem-solvingskills.
- Performance tuning concepts like watermarking, latedata handling, parallelism & checkpointing.
- Hands-on expertise in ADF, and Qlik Replicate for data ingestion and replication.
- Experience working in Azure cloudenvironments.
- Experience with Gen AI evaluation frameworks and benchmarkingmethodologies.
- Experience in MS Copilot, AI Foundry , Databricks(Mosiac AI, MLflow, Agentbricks, Genie)
- Strong Git practices and collaborative codingstandards.
- A passion for and expertise in practicing data scienceto solve real-world problems.
- Excellent oral and written communication skills.
- Strong interpersonal skills and enthusiasm forteamwork, as well as the ability to work independently.
- Familiarity with the enterprise AI platforms andgovernance models is a plus.
- Strong decision-making abilities, using data-driveninsights to make informed choices that align with organizational goals.
- Skills in managing conflicts and facilitatingeffective resolutions to maintain a positive and productive team dynamic.
- Ability to engage with and manage expectations ofvarious stakeholders, including executives, project managers, and other teams.
- Proficiency in identifying potential risks in dataprojects and implementing strategies to mitigate them.
- Strong commitment and ownership of project delivery.
- #J-18808-Ljbffr
Principal AI Data Engineer in London employer: Deloitte - Recruitment
Deloitte is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. As a Google Cloud Programme Manager, you will benefit from extensive employee growth opportunities, including access to cutting-edge training and development resources, while working alongside industry leaders on impactful projects. The company's commitment to diversity and inclusion ensures a supportive environment where every team member can thrive and contribute meaningfully to our clients' success.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Data Engineer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Deloitte - Recruitment before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Deloitte - Recruitment.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Deloitte - Recruitment.
We think you need these skills to ace Principal AI Data Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Deloitte - Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Deloitte - Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Deloitte - Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at Deloitte - Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Deloitte - Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Deloitte - Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Deloitte - Recruitment.
